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Air pollution and temperature are associated with increased COVID-19 incidence: A time series study.
Li, He; Xu, Xiao-Long; Dai, Da-Wei; Huang, Zhen-Yu; Ma, Zhuang; Guan, Yan-Jun.
Afiliação
  • Li H; Department of Respiratory and Critical Care Medicine, General Hospital of Northern Theater Command, 83 Wen Hua Rd, Shenyang 110801, Liaoning, China.
  • Xu XL; Department of Neurosurgery, Shanghai Chang Hai Hospital Affiliated to China Second Military Medical University, 168 Chang Hai Rd, Shanghai 200433, China.
  • Dai DW; Department of Neurosurgery, Shanghai Chang Zheng Hospital Affiliated to China Second Military Medical University, 415 Feng Yang Rd, Shanghai 200003, China.
  • Huang ZY; Department of Neurosurgery, Shanghai Chang Zheng Hospital Affiliated to China Second Military Medical University, 415 Feng Yang Rd, Shanghai 200003, China.
  • Ma Z; Department of Respiratory and Critical Care Medicine, General Hospital of Northern Theater Command, 83 Wen Hua Rd, Shenyang 110801, Liaoning, China.
  • Guan YJ; Department of Otorhinolaryngology, Shanghai Rui-Jin Hospital, Shanghai Jiaotong University School of Medicine, 149 Chong Qing Rd, Shanghai 200020, China. Electronic address: guanyjsigma@yeah.net.
Int J Infect Dis ; 97: 278-282, 2020 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-32502664
ABSTRACT

OBJECTIVES:

Although COVID-19 is known to be caused by human-to-human transmission, it remains largely unclear whether ambient air pollutants and meteorological parameters could promote its transmission.

METHODS:

A retrospective study was conducted to study whether air quality index (AQI), four ambient air pollutants (PM2.5, PM10, NO2 and CO) and five meteorological variables (daily temperature, highest temperature, lowest temperature, temperature difference and sunshine duration) could increase COVID-19 incidence in Wuhan and XiaoGan between Jan 26th to Feb 29th in 2020.

RESULTS:

First, a significant correlation was found between COVID-19 incidence and AQI in both Wuhan (R2=0.13, p<0.05) and XiaoGan (R2=0.223, p<0.01). Specifically, among four pollutants, COVID-19 incidence was prominently correlated with PM2.5 and NO2 in both cities. In Wuhan, the tightest correlation was observed between NO2 and COVID-19 incidence (R2=0.329, p<0.01). In XiaoGan, in addition to the PM2.5 (R2=0.117, p<0.01) and NO2 (R2=0.015, p<0.05), a notable correlation was also observed between the PM10 and COVID-19 incidence (R2=0.105, p<0.05). Moreover, temperature is the only meteorological parameter that constantly correlated well with COVID-19 incidence in both Wuhan and XiaoGan, but in an inverse correlation (p<0.05).

CONCLUSIONS:

AQI, PM2.5, NO2, and temperature are four variables that could promote the sustained transmission of COVID-19.
Assuntos
Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Assunto principal: Pneumonia Viral / Temperatura / Infecções por Coronavirus / Poluição do Ar Tipo de estudo: Estudo de incidência / Estudo observacional / Estudo prognóstico / Fatores de risco Limite: Humanos País/Região como assunto: Ásia Idioma: Inglês Revista: Int J Infect Dis Assunto da revista: Doenças Transmissíveis Ano de publicação: 2020 Tipo de documento: Artigo País de afiliação: China

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Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Assunto principal: Pneumonia Viral / Temperatura / Infecções por Coronavirus / Poluição do Ar Tipo de estudo: Estudo de incidência / Estudo observacional / Estudo prognóstico / Fatores de risco Limite: Humanos País/Região como assunto: Ásia Idioma: Inglês Revista: Int J Infect Dis Assunto da revista: Doenças Transmissíveis Ano de publicação: 2020 Tipo de documento: Artigo País de afiliação: China